Photos | Group Performance at Coachella Concert
A vibrant night sky illuminates the palm trees as Priscilla Lopes-Schliep and 16 other individuals take the stage for their energetic performance at Coachella Weekend 2, Day 1. The crowd's excitement is palpable as the music echoes through the urban landscape.
BLIP-2 Description:
a group of people on stage at a concertChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
weekend urban art backpack purple instrument recreation night party glasses music palm outdoor performing arts musician footwear bag leisure sky coachella theater activities musical tree dancing priscilla lopes-schliep band concert performer stage lighting shoe staf day plant rock wristwatch rock concert performance life group hat audience club fun accessories indoors crowd
Detected Text
iso
3200
metering mode
5
aperture
f/2.8
focal length
70mm
shutter speed
1/320s
camera make
Canon
camera model
lens model
overall
(32.13%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.52%)
failure
(-2.93%)
harmonious color
(1.54%)
immersiveness
(0.24%)
interaction
(1.00%)
interesting subject
(-37.23%)
intrusive object presence
(-21.00%)
lively color
(-47.22%)
low light
(95.41%)
noise
(-7.03%)
pleasant camera tilt
(-7.79%)
pleasant composition
(-89.75%)
pleasant lighting
(-62.89%)
pleasant pattern
(1.37%)
pleasant perspective
(-10.34%)
pleasant post processing
(4.52%)
pleasant reflection
(-3.96%)
pleasant symmetry
(0.51%)
sharply focused subject
(0.12%)
tastefully blurred
(-47.05%)
well chosen subject
(18.03%)
well framed subject
(-48.68%)
well timed shot
(14.99%)
all
(-10.02%)
* NOTE: Amazon Rekognition
detected a celebrity in this image using the
Celebrity Recognition API. The API isn't perfect, but it does give you the MatchConfidence which I display
next to the celebrity's name along with links _↗ to their info.
* WARNING: The title and caption of this image were generated by an AI LLM (gpt-3.5-turbo-0301
from
OpenAI)
based on a
BLIP-2 image-to-text labeling, tags,
location,
people
and album metadata from the image and are
potentially inaccurate, often hilariously so. If you'd like me to adjust anything,
just reach out.